Aetna IT is committed to keeping our members at the heart of everything we do. Our top-talent workforce delivers leading-edge technology, drives innovation, turns vision into action and challenges the art of the possible. We provide best-in-class services to our members by delivering groundbreaking healthcare tools, enabling consumer-friendly interactions and protecting data security. Your mission will be to deliver innovating technology solutions including: Hybrid cloud infrastructure, artificial intelligence/machine learning capabilities and infrastructure as code.
Aetna, a CVS Health Company, is a company with a world-class IT team and we will be counting on you to carry on our success as the preferred provider of infrastructure services for our business partners.
What makes a successful Information Technologist?
Here are the traits we are looking for:
- Digitally Savvy
- Good Listener
- Results Driven
- Team Player
- Technologically savvy
- Relationship expertise
- Business Savvy
Senior Data EngineerPrimary Location: Hartford, Connecticut
Additional Locations: CT-Hartford Apply
- Enhance, support, and maintain architectural integrity of designated Financial Data Repository by implementing initiatives and delivering architectural solutions using established best practices.
- Ensure the incorporation of project requirements into specific system, application or process designs solutions.
- Deliver technology strategy and support of business systems delivery.
- Collect requirements for approved projects and aggregate resource demand by supplier and by role.
- Act as a technical resource to senior client and information technology management and staff.
- Provide technical consultation to IT management strategic planning groups.
- Assist with development of solutions with business area implications.
- Anticipate and proactively respond to future customer, industry and information technology trends.
- Develop and implement technology strategies that influence business areas with senior management review.
- Develop business models to guide development of the architecture.
- Oversee the standard technical products life cycle according to APLC.
- Produce output for highly visible IT products, services and future business development.
- Responsible for analytics engineering initiatives, including developing and deploying Big Data products.
- Responsible for developing complex and large-scale data structures and pipelines to organize, collect and standardize data to generate insights and addresses reporting needs.
- Use programming skills in Python, Java or any of the major languages to build robust data pipelines and dynamic systems.
- Write complex ETL (Extract / Transform / Load) processes, design database systems and develop tools for real-time and offline analytic processing.
- Develop frameworks, standards and reference material for architecture and associated products.
- Collaborate with data science team to transform data and integrate algorithms and models into highly available, production systems.
- Use knowledge on Hadoop architecture, HDFS commands and experience designing and optimizing queries to build scalable, modular, and efficient data pipelines.
- Integrate data from a variety of sources, assuring that they adhere to data quality and accessibility standards.
- Experiment with available tools and advise on new tools in order to determine optimal solution given the requirements dictated by the model/use case.
Bachelor’s degree in Computer Science, Computer Engineering or Information Technology
- Minimum 5 years of experience with data modeling, information architecture, data analysis, enterprise architecture and solution designs of OLTP and OLAP systems.
- Must have experience in information architecture methodologies including CDM/LDM/PDM; techniques including ER/dimensional modeling, DataVault, Hadoop denormalized structures; managing metadata; all phases of the systems development life cycle; application program development; and execution such as EDW/Data Lake and Big Data.
- Must also have experience with following tools/technologies: Erwin/IBM IDA; HadoopFS/Hive; SQL; Unix; Netezza; DataStage/BigIntegrate; FastTrack; Info Analyzer; Metadata HUB/IBM IGC; and R/Pig/Python.
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